From 1d3334a73722abacebcd04598a69e8bbedcfb89a Mon Sep 17 00:00:00 2001
From: Carla Elena Gomez Alvarado <10-11266@usb.ve>
Date: Mon, 8 Feb 2021 20:06:26 -0500
Subject: [PATCH] Ejercicio importado del Jupyter Hub
---
Ejercicio3.ipynb | 153 +++++++++++++++++++++++++++++++++++++++++++++++
1 file changed, 153 insertions(+)
create mode 100644 Ejercicio3.ipynb
diff --git a/Ejercicio3.ipynb b/Ejercicio3.ipynb
new file mode 100644
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+++ b/Ejercicio3.ipynb
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+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#importar librerias a usar \n",
+ "\n",
+ "import csv, json\n",
+ "\n",
+ "#En esta variable se guardan todas las filas del CSV\n",
+ "compas = {}\n",
+ "\n",
+ "#previamente he cargado el archivo cega_tarea_2.csv en el directorio del pwd \n",
+ "\n",
+ "FILE_NAME = 'cega_tarea_2.csv'\n",
+ "\n",
+ "#Indices para cada columna\n",
+ "USERNAME = 0\n",
+ "NAME = 1\n",
+ "LASTNAME = 2\n",
+ "AGE = 3\n",
+ "COUNTRY = 4\n",
+ "CITY = 5\n",
+ "FIELD = 6\n",
+ "INSTITUTION = 7\n",
+ "HOBBY = 8\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Funcion para leer un archivo\n",
+ "def read_file():\n",
+ " #Abre el archivo .csv\n",
+ " with open(FILE_NAME) as csv_file:\n",
+ " csv_reader = csv.reader(csv_file, delimiter=',')\n",
+ " #Saltarse los encabezados de las columnas\n",
+ " header = True\n",
+ " #Para cada fila del archivo .csv\n",
+ " for row in csv_reader:\n",
+ " if not header:\n",
+ " compas[row[USERNAME]] = {\n",
+ " \"name\" : row[NAME],\n",
+ " \"lastname\" : row[LASTNAME],\n",
+ " \"age\" : row[AGE],\n",
+ " \"country\" : row[COUNTRY],\n",
+ " \"city\" : row[CITY],\n",
+ " \"field\" : row[FIELD],\n",
+ " \"institution\" : row[INSTITUTION],\n",
+ " \"hobby\" : row[HOBBY],\n",
+ " }\n",
+ " else:\n",
+ " header = False"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Funcion principal\n",
+ "def main():\n",
+ " read_file()\n",
+ " print('--------------------------')\n",
+ " get_info_by_country('Colombia')\n",
+ " print('--------------------------')\n",
+ " print(f'Age avg: {get_age_avg()}')\n",
+ " print('--------------------------')\n",
+ " print(f'Institutions: {get_institutions()}')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def get_info_by_country(country):\n",
+ " #print con formato\n",
+ " print (\"{:<15} {:<20} {:<10} {:<10} {:<15} {:<25} {:<40} {:<10}\".format('Name', 'Last Name', 'Age', 'Country', 'City', 'Field', 'Institution', 'Hobby')) \n",
+ " for username in compas:\n",
+ " data_info = compas[username]\n",
+ " if data_info[\"country\"] == country:\n",
+ " print (\"{:<15} {:<20} {:<10} {:<10} {:<15} {:<25} {:<40} {:<10}\".format(data_info[\"name\"], data_info[\"lastname\"], data_info[\"age\"], data_info[\"country\"], data_info[\"city\"], data_info[\"field\"], data_info[\"institution\"], data_info[\"hobby\"]))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def get_age_avg():\n",
+ " if len(compas) == 0:\n",
+ " return 0\n",
+ " ages_sum = 0\n",
+ " for username in compas:\n",
+ " ages_sum += int(compas[username][\"age\"])\n",
+ "\n",
+ " return ages_sum / len(compas)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def get_institutions():\n",
+ " institutions = set()\n",
+ " for username in compas:\n",
+ " institutions.add(compas[username][\"institution\"])\n",
+ " \n",
+ " return institutions"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.7.3"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
--
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